19 citations · 41 across the 6 of their papers we have counts for
13 papers
DFGC 2021: A DeepFake Game Competition
Bo Peng, Hongxing Fan, Wei Wang +20
This paper presents a summary of the DFGC 2021 competition. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the s…
Transferable Sparse Adversarial Attack
Ziwen He, Wei Wang, Jing Dong +1
Deep neural networks have shown their vulnerability to adversarial attacks. In this paper, we focus on sparse adversarial attack based on the norm constraint, which can su…
Robust Face-Swap Detection Based on 3D Facial Shape Information
Weinan Guan, Wei Wang, Jing Dong +2
Maliciously-manipulated images or videos - so-called deep fakes - especially face-swap images and videos have attracted more and more malicious attackers to discredit some key figu…
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
Yueming Lyu, Jing Dong, Bo Peng +2
In recent years, virtual makeup applications have become more and more popular. However, it is still challenging to propose a robust makeup transfer method in the real-world enviro…
Exploring Adversarial Fake Images on Face Manifold
Dongze Li, Wei Wang, Hongxing Fan +1
Images synthesized by powerful generative adversarial network (GAN) based methods have drawn moral and privacy concerns. Although image forensic models have reached great performan…
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Tianxiang Ma, Bo Peng, Wei Wang +1
Pose-guided person image generation usually involves using paired source-target images to supervise the training, which significantly increases the data preparation effort and limi…